Johnson Controls International (JCI) EBITDA (2009 - 2026)
Johnson Controls International (JCI) posted EBITDA of $1.15 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.7% from $968 million a year earlier and up 18.1% from the prior quarter.
Johnson Controls International (JCI) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Johnson Controls International was $3.76 billion, up 10.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3.15 billion, up 15.6% from FY2024.
- Annual EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In prior fiscal years, Johnson Controls International's EBITDA was $2.72 billion in FY2024 (+28.8%), $2.11 billion in FY2023 (+4.2%), $2.03 billion in FY2022 (-40.4%) and $3.4 billion in FY2021 (+90.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA since fiscal Q3 2024.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 40.4% over the last seven quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2024, with growth of 245.0%; the weakest was fiscal Q4 2022, with a decline of 68.6%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $973 million (Q2 2026), $930 million (Q1 2026) and $710 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.53 Bn | 87.15 Bn | 2.38 Bn | 1.45 Bn |
| 2 | Johnson Controls International | 86.41 Bn | 84.14 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Carrier Global | 44.23 Bn | 38.61 Bn | 1.90 Bn | -1.95 Bn |
| 4 | Comfort Systems Usa | 38.60 Bn | 32.56 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 30.20 Bn | 26.59 Bn | 1.16 Bn | 661.00 Mn |
| 6 | James Hardie Industries | 17.42 Bn | 16.35 Bn | 562.40 Mn | 425.90 Mn |
| 7 | Masco | 16.78 Bn | 14.58 Bn | 720.00 Mn | - |
| 8 | Allegion | 16.09 Bn | 14.72 Bn | 548.20 Mn | 320.70 Mn |
| 9 | Carlisle Companies | 15.51 Bn | 12.41 Bn | 494.90 Mn | 342.00 Mn |
| 10 | Lennox International | 12.05 Bn | 11.87 Bn | 497.20 Mn | 346.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 973.00 Mn |
| Dec 31, 2025 | 930.00 Mn |
| Sep 30, 2025 | 710.00 Mn |
| Jun 30, 2025 | 968.00 Mn |
| Mar 31, 2025 | 782.00 Mn |
| Dec 31, 2024 | 687.00 Mn |
| Sep 30, 2024 | 959.00 Mn |
| Jun 30, 2024 | 1.31 Bn |
| Mar 31, 2024 | -166.00 Mn |
| Dec 31, 2023 | 617.00 Mn |
| Sep 30, 2023 | 278.00 Mn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 450.00 Mn |
| Dec 31, 2022 | 378.00 Mn |
| Sep 30, 2022 | 313.00 Mn |
| Jun 30, 2022 | 691.00 Mn |
| Mar 31, 2022 | 327.00 Mn |
| Dec 31, 2021 | 697.00 Mn |
| Sep 30, 2021 | 998.00 Mn |
Johnson Controls International EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=JCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "JCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=JCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();